메뉴 건너뛰기




Volumn , Issue , 2013, Pages 5477-5480

A modified anomaly detection method for capsule endoscopy images using non-linear color conversion and Higher-order Local Auto-Correlation (HLAC)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ANOMALY DETECTION METHODS; CAPSULE ENDOSCOPY; CAPSULE ENDOSCOPY IMAGE; COLOR CONVERSIONS; DETECTION ACCURACY; LOCAL AUTO-CORRELATION; SUB-SPACE METHODS;

EID: 84886482358     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610789     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 3
    • 63449106575 scopus 로고    scopus 로고
    • A feasibility trial of computer-aided diagnosis for enteric lesions in capsule endoscopy
    • December 7
    • Tao Gan, Jun-Chao Wu, Ni-Ni Rao, Tao Chen, Bing Liu, A feasibility trial of computer-aided diagnosis for enteric lesions in capsule endoscopy, World Journal of Gastroenterology, 2008 December 7, 14(45), 6929-6935.
    • (2008) World Journal of Gastroenterology , vol.14 , Issue.45 , pp. 6929-6935
    • Gan, T.1    Wu, J.-C.2    Rao, N.-N.3    Chen, T.4    Liu, B.5
  • 5
    • 59649087428 scopus 로고    scopus 로고
    • Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity moments
    • Baopu Li, Max Q.-H.Meng, Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity moments, Computers in Biology and Medicine 39 (2009) 141-147.
    • (2009) Computers in Biology and Medicine , vol.39 , pp. 141-147
    • Li, B.1    Max, Q.-H.2    Meng, M.3
  • 7
    • 0002951157 scopus 로고
    • A new scheme for practical flexible and intelligent vision systems
    • N. Otsu and T. Kurita, 'A new scheme for practical flexible and intelligent vision systems', Proc. IAPR Workshop on Computer Vision, 1988, pp. 431-435.
    • (1988) Proc. IAPR Workshop on Computer Vision , pp. 431-435
    • Otsu, N.1    Kurita, T.2
  • 8
    • 84855391712 scopus 로고    scopus 로고
    • An extended method of higher-order local autocorrelation feature extraction for classification of histopathological images
    • Dec
    • Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa et al., 'An extended method of Higher-order Local Autocorrelation feature extraction for classification of histopathological images', IPSJ Transactions on Computer Vision and Applications, Dec. 2011, Vol.3 211-221.
    • (2011) IPSJ Transactions on Computer Vision and Applications , vol.3 , pp. 211-221
    • Nosato, H.1    Kurihara, T.2    Sakanashi, H.3    Murakawa, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.